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Paper Citation Record · LEDGER

Your Agent Can Defend Itself against Backdoor Attacks

As of 7 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 3 inbound Pith citation observations for arXiv:2506.08336.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.08336 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:20:51.574942Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T03:26:15.676915Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T16:48:02.786346Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33d8e3ef-8f5f-44e7-a182-8b9b49bebeec · outbound

This paper cites online" 'onlinestring :=.

Your Agent Can Defend Itself against Backdoor Attacks online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.385745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.385745Z digest=sha256:0c8d7608db25aa6a2e411531bf705bb91e4ce7f34a3878c719d5b0766e538df9

Observation 508d7764-32d1-4bdf-9fd7-7ea88da89387 · outbound

This paper cites write newline.

Your Agent Can Defend Itself against Backdoor Attacks write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.391716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.391716Z digest=sha256:f369044db24a903fea62e4d03fc5b06776572b74c2db32fbce753409693353a3

Observation 7d938bd2-ae37-4e72-a5c6-1df42f82f10f · outbound

This paper cites write newline.

Your Agent Can Defend Itself against Backdoor Attacks write newline

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.396958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.396958Z digest=sha256:12c7f694c985e3d310db9c0c691fde8151464fb29a0804cedb6c38e0f7962792

Observation 3124a7e8-bb3d-440f-a919-3847d1c1962b · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.121533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.402954Z digest=sha256:4f2615be9cf41d763d5285c0bc0b816f64d3af2d2548ce97f8183b322a97c3bb

Observation 31cb21c7-ad73-4ce3-bff3-febfe6024bd7 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.107386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.407546Z digest=sha256:22efa047ae48f42e012f4c271c6acc7511b639390682ebaf2401cb851b2d744a

Observation f37e26f4-6514-4097-b053-2af2ae217a0c · outbound

This paper cites The Llama 3 Herd of Models.

Your Agent Can Defend Itself against Backdoor Attacks The Llama 3 Herd of Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.412130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.412130Z digest=sha256:9a04cec3c0a9f996b3b65a4b8cdeeb63705133db5b5c4996740a09c8e6731177

Observation b18318e7-3b97-4807-8b7e-65359f56ab91 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.092108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.416945Z digest=sha256:e0d07772faf4fa46bfd790fda1418d93ef805b877cabab1271f7de97a7c902dc

Observation f6d62163-d3b1-4cf9-aa59-25a73f0ac248 · outbound

This paper cites Mistral 7B.

Your Agent Can Defend Itself against Backdoor Attacks Mistral 7B

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.421814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.421814Z digest=sha256:bc8f8d4ca77468c85bdc5ee8def15762178e3643461e5acce518af54d39a2d42

Observation 873b1849-dcde-4b69-859f-f25d281bd5a8 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.427123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.427123Z digest=sha256:628844c39a0b291f85bc8b01b110e0254cf72dd9592e748e4c89f1df92f24275

Observation 5789aff8-f215-4f16-9ed8-490090ff1318 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.068687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.431900Z digest=sha256:3d9c7b11e7ef3a7b741380e059d8b3842a5b3e5fc4b456358988f5e3c8015d69

Observation f088228c-2462-4359-8a4b-430fa0185a6a · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Your Agent Can Defend Itself against Backdoor Attacks AgentBench: Evaluating LLMs as Agents

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.436234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.436234Z digest=sha256:79464026f42d3cf24ca687a80d93e21601a99e962b204c57a8a7d9635e9f0eab

Observation be5503e8-261d-406a-8ea2-69aa96378dee · outbound

This paper cites ChatGPT as a Factual Inconsistency Evaluator for Text Summarization.

Your Agent Can Defend Itself against Backdoor Attacks ChatGPT as a Factual Inconsistency Evaluator for Text Summarization

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.441130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.441130Z digest=sha256:ceef6c0e903dc5a78e47959cf511ae6d1b6eeddf5a8a2e7da80016b7d3c0dc32

Observation 5a4adddb-c1aa-4721-8ba0-6cf69e36aa49 · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

Your Agent Can Defend Itself against Backdoor Attacks SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.445842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.445842Z digest=sha256:d9a814b2bbe49a392a3c1f3169854277f32760ff770526e7b6df2620ee2ad25e

Observation 577bdf80-2172-450c-ae09-bc05272ed337 · outbound

This paper cites SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning.

Your Agent Can Defend Itself against Backdoor Attacks SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.450599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.450599Z digest=sha256:1262b3d03c46b08534143c806a15956e30cdb116dbeebc7c321ed9f94ff08925

Observation 0f0327a5-dcfb-463d-8d57-8f39cb972233 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.053535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.455472Z digest=sha256:9e7d081911abdbb28465da013df46f19639426e029cafbd675dbc44cd4c6cef6

Observation 511758a7-f72f-4daf-b795-07d78305997b · outbound

This paper cites RET-LLM: Towards a General Read-Write Memory for Large Language Models.

Your Agent Can Defend Itself against Backdoor Attacks RET-LLM: Towards a General Read-Write Memory for Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.459554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.459554Z digest=sha256:1fa86c2197e2ca1c56b4f4c5007882d494002f503bc18aaa82e18ff53ba5e423

Observation 96b7f61a-9b1e-44d5-994e-b4c8fbd662ec · outbound

This paper cites TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models.

Your Agent Can Defend Itself against Backdoor Attacks TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:20:51.800586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.464083Z digest=sha256:ca8cc61f1a3fa32d924fd01f7dc910b78abe1a2810c89225bd937c869e4c3eff

Observation 8c279b25-7c78-4611-8158-36ff45632a9f · outbound

This paper cites LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked.

Your Agent Can Defend Itself against Backdoor Attacks LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.468584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.468584Z digest=sha256:d92b508f42b9f3318fa0d4777ea204dad53d99546f072802cbf5d9c1e85e87e8

Observation fc910d12-2f81-468e-a5ae-a01dfd8992e4 · outbound

This paper cites ONION: A Simple and Effective Defense Against Textual Backdoor Attacks.

Your Agent Can Defend Itself against Backdoor Attacks ONION: A Simple and Effective Defense Against Textual Backdoor Attacks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.473274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.473274Z digest=sha256:7c155899b9329c2fde9497926cbd8f8829a7e58d173510a9a195e3e24de8c4a3

Observation 569e79b6-ebe9-496c-a997-fa7cda9261a7 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.478489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.478489Z digest=sha256:4a5c357634d409dcc8976434443164070d8b19d11372e6d3009b295fbbba5ba7

Observation 34682129-c720-45cc-aadc-4afe191daf86 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.030055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.482894Z digest=sha256:a1e7d01226b945c4bb4fd7196ea43457ec41ab9a6d59208f590b2310b43ca892

Observation 2fef6dc1-6742-4c74-95f9-48971ab30437 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:52.014437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.487220Z digest=sha256:b50a2b81230173a126c4f9eacb69e22cd89ed1a8a649f041f707d6b623aa3ed2

Observation bf91c59a-08d3-46b5-a166-371d6175d971 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Your Agent Can Defend Itself against Backdoor Attacks Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.492099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.492099Z digest=sha256:a97a39e79d4ea5fa6deb1b3423136d1a54ae07681f7175f1a04f6627d43ee459

Observation c226d49f-ff6a-4a8f-b929-49dd2d7ae2f3 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.498004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.498004Z digest=sha256:585564fba1a9e9c6d1de9660852e198443549a503f9dc2d090050d5b46dc99da

Observation ae5fd4c0-37c0-4e12-80bf-38cfccaf4151 · outbound

This paper cites BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents.

Your Agent Can Defend Itself against Backdoor Attacks BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.502855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.502855Z digest=sha256:f57bcc2b955393a1ac374714450f7b0975eb746641be13d549efe750488d9509

Observation 832668f5-86ba-43ea-9824-d6c78edea72a · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.507455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.507455Z digest=sha256:a3607f8e6d09f0992f459d96ca2cdb92c9117e7b852707cc7481b6777246ce6e

Observation 52801b94-5167-43d7-96fa-5836fcc3b98e · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Your Agent Can Defend Itself against Backdoor Attacks The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.511937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.511937Z digest=sha256:4976bb6a15af870055f2d2b7eb67804dea96380e7de07a10e75854b3902c8da6

Observation df9e9c34-7b45-4a19-b9c8-6fdfa56e20dc · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:51.981105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.517047Z digest=sha256:16b4ef08a387ed2564f3b8b60b2358e1a5bcb846f1113fb6bd55e95af22f2e65

Observation 37ee37ab-782f-4f1e-b9ce-d4816c5b0250 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:51.965612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.521546Z digest=sha256:27596a414e370db7124662638637ba633ef553d91939fe8acea66614e7a66279

Observation 0b5c57fc-419b-40f5-9140-ca2d5ba4c4d7 · outbound

This paper cites Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions.

Your Agent Can Defend Itself against Backdoor Attacks Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.525816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.525816Z digest=sha256:ca9a95558e489c194edd4935574c7f523705d97deea7b3cc340785613844875d

Observation 41c05918-8fd1-42f2-8f56-a1613f3a8088 · outbound

This paper cites Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents.

Your Agent Can Defend Itself against Backdoor Attacks Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.530424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.530424Z digest=sha256:282ed71139ae2ea7a7907c763ad83b69a44591617bcf15b606cb0f04add1dfcd

Observation 718fa898-2536-49ab-a14b-c6f66374ed52 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:51.949720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.534900Z digest=sha256:e0fb1dc8fe198829f03f01f9b6abc7b504db95fa94ab93d0f35fffa34e5029f0

Observation acca5bd7-abbf-4f1d-ae87-a3ac034cccb7 · outbound

This paper cites RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models.

Your Agent Can Defend Itself against Backdoor Attacks RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.539219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.539219Z digest=sha256:6d4901d78170a603d7e34d76a64314970755c109ea47266db9d1de5cfa934e51

Observation a29784d0-353c-40ec-9880-7aed85b30541 · outbound

This paper cites Learning Semantic Textual Similarity from Conversations.

Your Agent Can Defend Itself against Backdoor Attacks Learning Semantic Textual Similarity from Conversations

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:20:51.661769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.544494Z digest=sha256:0cb710a342a05a5178fdcf7a0b92a09f836613cafbb17f41cfa3b11f859efce0

Observation 7650df87-f3e9-4997-bd04-e53f26ed5df1 · outbound

This paper cites AgentTuning: Enabling Generalized Agent Abilities for LLMs.

Your Agent Can Defend Itself against Backdoor Attacks AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.549345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.549345Z digest=sha256:63c5f4970489286beb40f79e331d5b27f62e06ab36e6dd6b10405211bad5dc50

Observation e211d3d4-d8c9-4b98-9e66-5933138feb80 · outbound

This paper cites Building Cooperative Embodied Agents Modularly with Large Language Models.

Your Agent Can Defend Itself against Backdoor Attacks Building Cooperative Embodied Agents Modularly with Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.555233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.555233Z digest=sha256:923feaff8c70c2acf7ce59fd841028c62ab8cccf1f04a6cb703f2208c0914e08

Observation 3b9dd95c-b205-48da-a920-42360134f2f9 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Your Agent Can Defend Itself against Backdoor Attacks BERTScore: Evaluating Text Generation with BERT

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.560059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.560059Z digest=sha256:a32f2abb0c470ff985a89c33a9139cadf5dd05e8a4eca4520eeb85b1f59c8b4d

Observation cc47d461-b498-40cb-bae6-0f846a245cf8 · outbound

This paper cites @esa (Ref.

Your Agent Can Defend Itself against Backdoor Attacks @esa (Ref

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.564762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.564762Z digest=sha256:bb0c5108a17d7b96937a553f86eca9e1d58bb07baad158bb6bd27bdbc145c6d1

Observation 14cd1a1f-b69b-4428-8175-deb12bf75ca8 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:51.569659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:51.569659Z digest=sha256:f94c75c6107fc27d266d77f45e390bef607ce3d2c57691efee7feb0ee2393bd5

Observation 85fc8b22-256d-4710-b717-0d7eb1581b63 · outbound

This paper cites an unresolved cited work.

Your Agent Can Defend Itself against Backdoor Attacks Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:20:51.917758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:20:51.574942Z digest=sha256:9ad458280ebeb31a2cf8943644794928a3c4a294099667c67c9266ab79a51ea1

Pith citing papers

Observation 776aa649-0a09-47d3-86c7-b9131ecdfb8b · inbound

From Prompt to Physical Action: Structured Backdoor Attacks on LLM-Mediated Robotic Control Systems cites this paper.

From Prompt to Physical Action: Structured Backdoor Attacks on LLM-Mediated Robotic Control Systems Your Agent Can Defend Itself against Backdoor Attacks

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:48:02.788326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T16:47:10.678447Z digest=sha256:3f30d223d4ae03bdb64067a6662cc46eeb838f8f99963c3b3f56b67cb5fef4c5

Observation 382a000c-c827-4da4-892a-afda204cce05 · inbound

ATAAT: Adaptive Threat-Aware Adversarial Tuning Framework against Backdoor Attacks on Vision-Language-Action Models cites this paper.

ATAAT: Adaptive Threat-Aware Adversarial Tuning Framework against Backdoor Attacks on Vision-Language-Action Models Your Agent Can Defend Itself against Backdoor Attacks

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:32.647173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T01:16:35.508455Z digest=sha256:38dc2c5a990316ee0573da2d322e61fc045ea5507ae8e0dcc8748c07ae69910a

Observation d78d9c3f-a3a1-4006-93c7-a17061f72b00 · inbound

When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems cites this paper.

When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems Your Agent Can Defend Itself against Backdoor Attacks

Reference 66

Resolution
unresolved
no resolver link, observed 2026-07-14T03:26:15.676915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:26:15.676915Z digest=sha256:4a26f7cd1462ecbffd9b3904cc8098afdbffb78dd9ba7054286dce187eb923ae